Geodesic
A Mixed Integer Linear Programming Formulation for Low Discrepancy Consecutive K-Sums Permutation
Yugoslav journal of operations research, Tome 27 (2017) no. 1, p. 125

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In this paper, low discrepancy consecutive k-sums permutation problem is considered. A mixed integer linear programming (MILP) formulation with a moderate number of variables and constraints is proposed. The correctness proof shows that the proposed formulation is equivalent to the basic definition of low discrepancy consecutive k-sums permutation problem. Computational results, obtained on standard CPLEX solver, give 88 new exact values, which clearly show the usefulness of the proposed MILP formulation.
Classification : 90C10, 68R10
Keywords: Mixed Integer Linear Programming, Permutations with Low Discrepancy Consecutive k-sums. 
Milena Bogdanović; Zoran Maksimović; Ana Simić; Jelisavka Milošević. A Mixed Integer Linear Programming Formulation for Low Discrepancy Consecutive K-Sums Permutation. Yugoslav journal of operations research, Tome 27 (2017) no. 1, p. 125 . http://geodesic.mathdoc.fr/item/YJOR_2017_27_1_a7/
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     title = {A {Mixed} {Integer} {Linear} {Programming} {Formulation} for {Low} {Discrepancy} {Consecutive} {K-Sums} {Permutation}},
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